Business Intelligence, Analytics, and Data Science A Managerial Perspective, 4th Edition
By Ramesh Sharda
Email: richard@qwconsultancy.com
Business Intelligence, 4e (Sharda/Delen/Turban) Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 1) Computerized support is only used for organizational decisions that are responses to external pressures, not for taking advantage of opportunities. Answer: FALSE Diff: 2 Page Ref: 3 2) During the early days of analytics, data was often obtained from the domain experts using manual processes to build mathematical or knowledge-based models. Answer: TRUE Diff: 2 Page Ref: 13 3) Computer applications have moved from transaction processing and monitoring activities to problem analysis and solution applications. Answer: TRUE Diff: 1 Page Ref: 11 4) Business intelligence (BI) is a specific term that describes architectures and tools only. Answer: FALSE Diff: 1 Page Ref: 16 5) The growth in hardware, software, and network capacities has had little impact on modern BI innovations. Answer: FALSE Diff: 1 Page Ref: 11 6) Managing data warehouses requires special methods, including parallel computing and/or Hadoop/Spark. Answer: TRUE Diff: 3 Page Ref: 11-12 7) Managing information on operations, customers, internal procedures and employee interactions is the domain of cognitive science. Answer: FALSE Diff: 3 Page Ref: 12 8) Decision support system (DSS) and management information system (MIS) have precise definitions agreed to by practitioners. Answer: FALSE Diff: 2 Page Ref: 13 9) In the 2000s, the DW-driven DSSs began to be called BI systems. Answer: TRUE Diff: 1 Page Ref: 14
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10) Major commercial business intelligence (BI) products and services were well established in the early 1970s. Answer: FALSE Diff: 2 Page Ref: 15 11) Information systems that support such transactions as ATM withdrawals, bank deposits, and cash register scans at the grocery store represent transaction processing, a critical branch of BI. Answer: FALSE Diff: 2 Page Ref: 19 12) Many business users in the 1980s referred to their mainframes as "the black hole," because all the information went into it, but little ever came back and ad hoc real-time querying was virtually impossible. Answer: TRUE Diff: 2 Page Ref: 20 13) Successful BI is a tool for the information systems department, but is not exposed to the larger organization. Answer: FALSE Diff: 2 Page Ref: 20 14) BI represents a bold new paradigm in which the company's business strategy must be aligned to its business intelligence analysis initiatives. Answer: FALSE Diff: 2 Page Ref: 20-21 15) Traditional BI systems use a large volume of static data that has been extracted, cleansed, and loaded into a data warehouse to produce reports and analyses. Answer: TRUE Diff: 2 Page Ref: 21 16) Demands for instant, on-demand access to dispersed information decrease as firms successfully integrate BI into their operations. Answer: FALSE Diff: 3 Page Ref: 21 17) The use of dashboards and data visualizations is seldom effective in identifying issues in organizations, as demonstrated by the Silvaris Corporation Case Study. Answer: FALSE Diff: 2 Page Ref: 24 18) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case study, is an example of the effectiveness of prescriptive analytics. Answer: TRUE Diff: 2 Page Ref: 5
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19) Due to industry consolidation, the analytics ecosystem consists of only a handful of players across several functional areas. Answer: FALSE Diff: 2 Page Ref: 38-39 20) Data generation is a precursor, and is not included in the analytics ecosystem. Answer: FALSE Diff: 1 Page Ref: 39 21) In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket sales? A) player selections B) stadium location C) fan tweets D) ticket prices Answer: D Diff: 2 Page Ref: 6 22) In the Opening Vignette on Sports Analytics, what type of modeling was used to predict offensive tactics? A) heuristics B) heat maps C) cascaded decision trees D) sentiment analysis Answer: B Diff: 3 Page Ref: 7 23) Business applications have moved from transaction processing and monitoring to other activities. Which of the following is NOT one of those activities? A) problem analysis B) solution applications C) data monitoring D) mobile access Answer: C Diff: 2 Page Ref: 11 24) Which of the following developments is NOT contributing to facilitating growth of decision support and analytics? A) collaboration technologies B) Big Data C) knowledge management systems D) locally concentrated workforces Answer: D Diff: 3 Page Ref: 11-12
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25) In what decade did disjointed information systems begin to be integrated? A) 1970s B) 1980s C) 1990s D) 2000s Answer: B Diff: 2 Page Ref: 14 26) Relational databases began to be used in the A) 1960s. B) 1970s. C) 1980s. D) 1990s. Answer: C Diff: 3 Page Ref: 13 27) The need for more versatile reporting than what was available in 1980s era ERP systems led to the development of what type of system? A) management information systems B) relational databases C) executive information systems D) data warehouses Answer: C Diff: 3 Page Ref: 14 28) Which of the following is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies? A) MIS B) DSS C) ERP D) BI Answer: D Diff: 1 Page Ref: 16 29) The competitive imperatives for BI include all of the following EXCEPT A) right information B) right user C) right time D) right place Answer: B Diff: 2 Page Ref: 16
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